Evidence map›Paper›PMID 39261910›Full record

ArticleFluids and barriers of the CNS2024

Coupled pulsatile vascular and paravascular fluid dynamics in the human brain.

Adam M Wright, Yu-Chien Wu, Ho-Ching Yang, Shannon L Risacher, Andrew J Saykin, Yunjie Tong, Qiuting Wen

Abstract read
In one paragraph

Article in Fluids and barriers of the CNS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Adam M WrightDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16 Street, Suite 4100, Indianapolis, IN, 46202, USA.
Yu-Chien WuDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16 Street, Suite 4100, Indianapolis, IN, 46202, USA.
Ho-Ching YangDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16 Street, Suite 4100, Indianapolis, IN, 46202, USA.
Shannon L RisacherDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16 Street, Suite 4100, Indianapolis, IN, 46202, USA.
Andrew J SaykinDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16 Street, Suite 4100, Indianapolis, IN, 46202, USA.
Yunjie TongWeldon School of Biomedical Engineering Department, Purdue University, 206 S Martin Jischke Drive, West Lafayette, IN, 47907, USA. tong61@purdue.edu.
Qiuting WenDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 West 16 Street, Suite 4100, Indianapolis, IN, 46202, USA. wenq@iu.edu.

Funding

Research Education ComponentP30AG072976 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI Sophia Wang · 2021 to 2026
$24.1M
Indiana Medical Scientist/Engineer Training ProgramT32GM148382 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI Benjamin Gaston, Emily K Sims · 2023 to 2026
$3.9M
Assessing Diffusion MRI Metrics for Detecting Changes of Synaptic Density in Alzheimer's DiseaseR01AG083951 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI Yu-Chien Wu · 2023 to 2026
$3.1M
Map Paravascular Fluid Dynamic Signatures of Key Aging and AD Processes Using Dynamics Diffusion-Weighted ImagingRF1AG083762 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI WEN, QIUTING · 2023 to 2023
$2.3M
Modeling Axonal Density and Inflammation-Associated Cellularity in Alzheimer’s Disease Using Hybrid Diffusion ImagingR01AG053993 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI WU, YU-CHIEN · 2016 to 2020
$2.0M
Image based modeling of biomechanical factors for risk assessment of developing periventricular white matter hyperintensitiesR21AG068962 · NIA · PURDUE UNIVERSITY · PI TONG, YUNJIE · 2021 to 2021
$423k
Clinically feasible functional MRI providing independent assessments of cerebrovascular stiffness and microcirculation in typical aging and Alzheimer's Disease cohortsF30AG084336 · NIA · PURDUE UNIVERSITY · PI Adam M Wright · 2023 to 2026
$216k
NIA NIH HHS F30 AG084336NIA NIH HHS P30 AG072976NIA NIH HHS R01 AG053993NIA NIH HHS R01 AG083951NIA NIH HHS R21 AG068962NIA NIH HHS RF1 AG083762NIH HHS F30AG084336NIH HHS P30AG072976NIH HHS R01AG053993NIH HHS R21AG068962NIH HHS RF1AG083762
6 · The paper itself

Abstract

backgroundCardiac pulsation propels blood through the cerebrovascular network to maintain cerebral homeostasis. The cerebrovascular network is uniquely surrounded by paravascular cerebrospinal fluid (pCSF), which plays a crucial role in waste removal, and its flow is suspected to be driven by arterial pulsations. Despite its importance, the relationship between vascular and paravascular fluid dynamics throughout the cardiac cycle remains poorly understood in humans.

methodsIn this study, we developed a non-invasive neuroimaging approach to investigate the coupling between pulsatile vascular and pCSF dynamics within the subarachnoid space of the human brain. Resting-state functional MRI (fMRI) and dynamic diffusion-weighted imaging (dynDWI) were retrospectively cardiac-aligned to represent cerebral hemodynamics and pCSF motion, respectively. We measured the time between peaks (∆TTP) in

resultsHemodynamic changes consistently precede pCSF motion. ∆TTP was significantly shorter in younger adults compared to older adults (-0.015 vs. -0.069, p < 0.05). The correlation at aligned peaks were high and did not differ between younger and older adults (0.833 vs. 0.776, p = 0.153). The ∆TTP and correlation at aligned peaks were robust across fMRI protocols (∆TTP: -0.15 vs. -0.053, p = 0.239; correlation at aligned peaks: 0.813 vs. 0.812, p = 0.985) and demonstrated good to excellent within-subject reproducibility (∆TTP: intraclass correlation coefficient = 0.36; correlation at aligned peaks: intraclass correlation coefficient = 0.89).

conclusionThis study proposes a non-invasive technique to evaluate vascular and paravascular fluid dynamics. Our findings reveal a consistent and robust cardiac pulsation-driven coupling between cerebral hemodynamics and pCSF dynamics in both younger and older adults.

Indexed as

BrainCerebrospinal FluidHydrodynamicsMagnetic Resonance ImagingPulsatile FlowAdultAgedCerebrovascular CirculationDiffusion Magnetic Resonance ImagingFemaleHemodynamicsHumansMaleMiddle AgedRetrospective StudiesYoung AdultCerebrospinal fluid flowDynamic diffusion-weighted imaging (dynDWI)Functional MRI (fMRI)NeurofluidsNon-invasive imagingParavascular CSF (pCSF)

Identifiers

PMID39261910
PMCPMC11389319

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.